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Hemoglobin Response to 12 Weeks of Iron Supplementation is Substantially Lower among Non‐Pregnant Cambodian Women with Genetic Hemoglobin Disorders

2017· article· en· W4389021746 on OpenAlexaffabout
Crystal D Karakochuk, Mikaela K. Barker, Susan I. Barr, Suzanne Vercauteren, Angela M. Devlin, Kyly C. Whitfield, Kim Harding, Luz María de Regil, Klaus Kraemer, Tim Green

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsNutrition InternationalMount Saint Vincent UniversityBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineHemoglobinSoluble transferrin receptorIron deficiencyMismatch negativityMicronutrientAnemiaInternal medicinePlaceboGastroenterologyFerritinRandomized controlled trialIron statusPathology

Abstract

fetched live from OpenAlex

Objective We measured the effect of 12 wk of oral iron (Fe) with or without multiple micronutrients (MMN) on hemoglobin (Hb) response (Hb increase of ≥10 g/L) among Cambodian women of reproductive age screened as anemic. Methods In this 2×2 factorial double‐blind randomized controlled supplementation trial, 2,846 non‐pregnant women (18–45 y) were convenience sampled from 26 rural villages in Kampong Chhnang province, Cambodia. Those ( n =809) with Hb ≤117 g/L (capillary blood, HemoCue® 301) were randomized to 12 wk of daily oral Fe (60 mg elemental), MMN (14 nutrients excluding Fe), Fe+MMN, or placebo capsules. Results Baseline anemia prevalence (Hb <120 g/L) was 58% ( n =468/808) based on a Sysmex hematology analyzer (venous blood collected 1 wk post HemoCue® screening). Baseline iron deficiency was 25% and 22% based on serum soluble transferrin receptor (>8.3 mg/L) and inflammation‐adjusted ferritin (<15 μg/L), respectively. Overall, 74% of women ( n =596/808) had a genetic Hb disorder (primarily, Hb E variants and α‐thalassemia). Of all women who received Fe (with or without MMN), 25% ( n =95/383) responded with an Hb increase ≥10 g/L at 12 wk; among women confirmed anemic using the Sysmex analyzer, 37% ( n =85/232) responded. Among women with depleted iron stores at baseline (ferritin <15 μg/L) who received Fe (with or without MMN), 67% ( n =57/85) had an Hb response ≥10 g/L at 12 wk. The proportion of women with an Hb increase ≥10 g/L at 12 wk was substantially lower among women with a genetic Hb disorder who received Fe (with or without MMN) (18%, n =53/287), as compared to women with no Hb disorder who received Fe (with or without MMN) (44%, n =42/96). There were no significant differences in the proportions of Hb responders and non‐responders in the MMN and placebo groups, by baseline iron status (iron‐depleted or replete) or by the presence/absence of a genetic Hb disorder. Conclusion The proportion of anemia amenable to iron supplementation among our surveyed population of women (~37%) is at the low end of the 95% CI of the estimate for Southeast Asia (45% [95% CI: 35%, 53%]) as reported in the 2011 WHO Global Prevalence of Anemia Report. The proportion of Hb responders among women with a genetic Hb disorder was substantially lower than among women without an Hb disorder (less than half; 18% vs. 44%, respectively), demonstrating that women with an Hb disorder were much less likely to derive benefit from Fe supplementation. We conclude that it is crucial to understand the multifactorial causes of anemia in each country‐specific setting or population (e.g., the prevalence of Hb disorders) in order to design and implement effective anemia reduction strategies and programs. Support or Funding Information Funding was provided by the Micronutrient Initiative, Sight and Life, and the Canadian Institutes of Health Research (CIHR). C.D.K. received a CIHR Vanier Scholarship, a CIHR Michael Smith Foreign Study Supplement, and a Doctoral Research Award from the International Development Research Centre.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.251
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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